71 phd-position-in-data-modeling-"Prof"-"Prof" Fellowship positions at Zintellect in United States
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research and data analyses, including: Model Development: Design and implement advanced statistical and mathematical models to support disease surveillance and risk assessment. Software/Code Development
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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computing (HPC) environments and include data assimilation techniques in a Bayesian framework. Under the guidance of a mentor, the participant will identify and integrate multiple data streams into the model
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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of microphysiological systems or organ on a chip models for viral agents Collecting and analyzing data from a diverse research portfolio Building professional networks Expanding research and critical thinking skills
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and
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genomic data. Strong capability in programming languages commonly used in bioinformatics, including Python and R, for data analysis, statistical modeling, and visualization. Familiarity with high
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the data and integrate it into the sprayer system. The sprayer equipped with the model will then be evaluated in a field to validate the model performance in increasing spray deposits and reducing drift
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institution systems may be submitted. Click here for detailed information about acceptable transcripts. A current resume/CV, including academic history, employment history, relevant experiences, and